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Death Rates Table

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Death Rate Report for Maryland by County

All Cancer Sites, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend ascending
Maryland No 162.3 (160.9, 163.7) 10,541 falling falling trend -1.9 (-2.0, -1.8)
United States No 163.5 (163.3, 163.7) 586,354 falling falling trend -1.5 (-1.6, -1.5)
Garrett County Yes 148.2 (132.2, 165.8) 65 falling falling trend -0.7 (-1.3, -0.1)
St. Marys County No 183.5 (171.8, 195.7) 194 falling falling trend -1.0 (-1.5, -0.6)
Allegany County No 168.6 (157.5, 180.4) 178 falling falling trend -1.1 (-1.5, -0.7)
Wicomico County No 201.1 (189.4, 213.4) 227 falling falling trend -1.1 (-1.6, -0.5)
Washington County No 172.1 (163.7, 180.9) 318 falling falling trend -1.2 (-1.5, -0.8)
Worcester County No 179.7 (167.0, 193.2) 162 falling falling trend -1.3 (-1.6, -0.9)
Harford County No 167.7 (160.8, 174.7) 471 falling falling trend -1.4 (-1.7, -1.2)
Queen Annes County No 168.3 (153.8, 183.9) 104 falling falling trend -1.4 (-2.0, -0.8)
Talbot County Yes 152.2 (139.0, 166.6) 107 falling falling trend -1.4 (-2.0, -0.8)
Baltimore City No 223.0 (217.7, 228.4) 1,420 falling falling trend -1.5 (-1.7, -1.3)
Frederick County Yes 152.9 (146.0, 160.1) 384 falling falling trend -1.5 (-1.8, -1.2)
Anne Arundel County No 169.9 (165.1, 174.8) 992 falling falling trend -1.6 (-1.8, -1.4)
Baltimore County No 162.7 (159.2, 166.3) 1,687 falling falling trend -1.6 (-1.8, -1.4)
Caroline County No 180.8 (162.1, 201.2) 71 falling falling trend -1.6 (-2.3, -0.9)
Carroll County No 161.8 (153.9, 170.1) 325 falling falling trend -1.6 (-1.9, -1.2)
Cecil County No 187.7 (176.1, 199.9) 206 falling falling trend -1.6 (-2.1, -1.1)
Calvert County No 165.3 (153.5, 177.7) 156 falling falling trend -1.7 (-2.3, -1.2)
Dorchester County No 189.9 (172.3, 209.0) 89 falling falling trend -1.7 (-2.3, -1.2)
Somerset County No 200.2 (178.0, 224.5) 61 falling falling trend -1.8 (-2.5, -1.2)
Kent County Yes 153.1 (134.1, 174.5) 52 falling falling trend -1.9 (-2.8, -1.1)
Montgomery County Yes 117.8 (114.9, 120.7) 1,332 falling falling trend -2.1 (-2.3, -1.9)
Prince Georges County No 165.0 (160.9, 169.1) 1,332 falling falling trend -2.1 (-2.4, -1.9)
Charles County No 175.4 (165.3, 185.9) 242 falling falling trend -2.4 (-3.2, -1.6)
Howard County Yes 127.9 (122.0, 134.1) 368 falling falling trend -2.5 (-2.9, -2.1)
Notes:
Created by statecancerprofiles.cancer.gov on 06/19/2019 7:30 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for mortality data.
The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.



Please note that the data comes from different sources. Due to different years of data availablility, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

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